Data Pipeline Engineer

Experteer Overview As a Data Pipeline Engineer, you will design, build, and operate scalable data pipelines that feed analytics and data science initiatives. You’ll work with data engineers, analysts, and stakeholders to deliver reliable datasets in modern cloud environments. You’ll focus on data quality, security, and performance to enable data-driven decision making and AI transformation for customers. This role sits within the Customer Service & Support data team and offers exposure to large-scale analytics and cloud platforms. Compensation / Benefits * Design, develop, and maintain batch and real-time data pipelines for ingestion, transformation, and delivery of enterprise data * Build scalable ETL/ELT solutions with monitoring, alerting, and data quality controls * Ensure data pipelines are reliable, performant, and cost-efficient; troubleshoot failures and bottlenecks * Design and optimize data models, data warehouses, lakehouses, and storage solutions; support legacy data migrations * Apply data security practices and ensure governance compliance * Collaborate with data scientists, analysts, engineers, and stakeholders to deliver trusted datasets Tasks * Bachelor’s Degree in a technical field and 3+ years in data engineering or related roles OR 5+ years of experience * Strong SQL and proficiency in Python or Scala * Experience building ETL/ELT pipelines and analytics-ready data modeling * Experience with orchestration tools (e.g., Airflow, Azure Data Factory) and cloud data platforms Key requirements *

years * Apply data security practices and ensure governance compliance * Collaborate with data scientists, analysts, engineers, and stakeholders to deliver trusted datasets Tasks * Bachelor’s Degree in a technical field and 3+ years in data engineering or related roles OR 5+ years of experience * Strong SQL and proficiency in Python or Scala * Experience building ETL/ELT pipelines and analytics-ready data modeling * Experience with orchestration tools (e.g., Airflow, Azure Data Factory) and cloud data platforms Key requirements *